1 citations · 1 across the 3 of their papers we have counts for
4 papers
MGI: Member vs Generated Inference
Bihe Zhao, Michel Meintz, Juangui Xu +2
As generative models increasingly produce samples that are indistinguishable from human-created content, it becomes difficult to determine whether a given data point was part of a…
Controllable Concept Bottleneck Models
Hongbin Lin, Chenyang Ren, Juangui Xu +7
Concept Bottleneck Models (CBMs) have garnered much attention for their ability to elucidate the prediction process through a human-understandable concept layer. However, most prev…
Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation
Hongbin Lin, Yifan Jiang, Juangui Xu +5
3D point cloud segmentation aims to assign semantic labels to individual points in a scene for fine-grained spatial understanding. Existing methods typically adopt data augmentatio…
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction
Hongbin Lin, Juangui Xu, Qingfeng Xu +5
In the realm of 3D reconstruction from 2D images, a persisting challenge is to achieve high-precision reconstructions devoid of 3D Ground Truth data reliance. We present UNeR3D, a…